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In this section, you’ll find a variety of queries that focus on aggregate metrics for your site. The value of these queries increases as you segment them by user personas, and the same logic can also be applied to calculate more specific statistics.
The visualizations may take a few seconds to load. You can review a complete list of SQL queries in our Common Queries doc. if you have any questions about these queries, please reach out to support@heap.io.
Top N Events
The top N events shed light on how users are interacting with your app. Looking at this list generates a lot of questions: Why are users clicking this button? Why are users viewing this page? Are these two actions correlated? Does the high event count come from users’ success within the product, or is this caused by confusion?
You can modify the WHERE statement to adjust the date range. You can include the date in SELECT statement and GROUP BY clause to measure how most frequently performed actions change over time. You can also adjust the number of events you are looking at by modifying the LIMIT.
Average Time on Site
This query is primarily beneficial to you if you have a content site, and there aren’t a lot of user interactions to capture while reading, and avid readers don’t always comment or share. Although this is a proxy for engagement, drastic changes in time on site can cue you in to investigate how users are engaging with your product. You can tweak this query to analyze average time between events, or break it down into different segments of users to get a better understanding of your site’s usage.
Average Events Per Session
Likewise, the average events per session metric can give you insight into aggregate behavior. This query can also be modified to analyze behavior across segments and over time, allowing you to answer questions such as: Does this number change with a product launch or tweaks to the onboarding flow? Do different types of users interact differently? Changes in the average can prompt investigation into what is really happening within your app.
Average Events per Session Over Time
To modify this query to calculate the average number of events per session over the past year or past six months, simply update the WHERE statement to include the time range and add a GROUP BY clause to address the granularity.
Average by User Property
To calculate this, join the all events table on the user table and add a GROUP BY clause based on the User Properties you want to use for segmentation.
Average Sessions Per User
The average number of sessions per user can be used in the same way as average events per session and can be modified in the same manner. To find the average number of sessions per user, simply divide the number of unique sessions by the number of unique users across the time period.